5 papers · 1 filter
Perceptually-Weighted Video Quality Metric for Asymmetric Encoded Sports Videos
Anna Meyer, Jonas Janzen, Diwakara Reddy +5
Objective video quality metrics commonly assume uniform spatial attention, an assumption that conflicts with the selective nature of human visual perception, particularly in sports…
Parallel Context Modeling for Sliding Window Attention in Neural Video Coding
Alexander Kopte, André Kaup
Most neural video codecs rely on temporal conditioning, which makes them susceptible to error propagation over long sequences. While Transformer-based architectures like the VCT of…
Sliding Window Attention for Learned Video Compression
Alexander Kopte, André Kaup
To manage the complexity of transformers in video compression, local attention mechanisms are a practical necessity. The common approach of partitioning frames into patches, howeve…
Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-Scale Latent Spaces
Fabian Brand, Alexander Kopte, Kristian Fischer +1
Adaptive block partitioning is responsible for large gains in current image and video compression systems. This method is able to compress large stationary image areas with only a…
Learning True Rate-Distortion-Optimization for End-To-End Image Compression
Fabian Brand, Kristian Fischer, Alexander Kopte +1
Even though rate-distortion optimization is a crucial part of traditional image and video compression, not many approaches exist which transfer this concept to end-to-end-trained i…